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Showing 1 to 15 of 86 results Save | Export
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Yang Du; Susu Zhang – Journal of Educational and Behavioral Statistics, 2025
Item compromise has long posed challenges in educational measurement, jeopardizing both test validity and test security of continuous tests. Detecting compromised items is therefore crucial to address this concern. The present literature on compromised item detection reveals two notable gaps: First, the majority of existing methods are based upon…
Descriptors: Item Response Theory, Item Analysis, Bayesian Statistics, Educational Assessment
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Sinharay, Sandip – Educational Measurement: Issues and Practice, 2021
Technical difficulties occasionally lead to missing item scores and hence to incomplete data on computerized tests. It is not straightforward to report scores to the examinees whose data are incomplete due to technical difficulties. Such reporting essentially involves imputation of missing scores. In this paper, a simulation study based on data…
Descriptors: Data Analysis, Scores, Educational Assessment, Educational Testing
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Venie Gupitasari; Heri Retnawati – Journal of Education and Learning (EduLearn), 2024
Assessment is an important component of learning which aims to determine student achievement in learning. However, the pandemic has changed how assessment is carried out, prompting teachers to look for new strategies in carrying out mathematics learning assessments under any conditions, whether in normal conditions or during a pandemic. This study…
Descriptors: Foreign Countries, High School Teachers, Mathematics Teachers, Student Evaluation
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Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)
A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Grantee Submission, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality (AERA, APA, NCME, 2014). Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups (Chapelle, 2021; Xi,…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
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A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Journal of Educational Measurement, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality. Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups. However, we argue that a more flexible…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
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Rutkowski, David; Rutkowski, Leslie; Flores, Charity – Educational Assessment, 2022
As more states move to universal computer-based assessments, an emergent issue concerns the effect that device type might have on student results. Although, several research studies have explored device effects, most of these studies focused on the differences between tablets and desktops/laptops. In the current study, we distinguish between…
Descriptors: Computer Assisted Testing, Computers, Laptop Computers, Handheld Devices
Albano, Anthony D.; McConnell, Scott R.; Lease, Erin M.; Cai, Liuhan – Grantee Submission, 2020
Research has shown that the context of practice tasks can have a significant impact on learning, with long-term retention and transfer improving when tasks of different types are mixed by interleaving (abcabcabc) compared with grouping together in blocks (aaabbbccc). This study examines the influence of context via interleaving from a psychometric…
Descriptors: Context Effect, Test Items, Preschool Children, Computer Assisted Testing
Doris Zahner; Jeffrey T. Steedle; James Soland; Catherine Welch; Qi Qin; Kathryn Thompson; Richard Phelps – Online Submission, 2023
The "Standards for Educational and Psychological Testing" have served as a cornerstone for best practices in assessment. As the field evolves, so must these standards, with regular revisions ensuring they reflect current knowledge and practice. The National Council on Measurement in Education (NCME) conducted a survey to gather feedback…
Descriptors: Standards, Educational Assessment, Psychological Testing, Best Practices
Olson, John F.; Lazarus, Sheryl S.; Thurlow, Martha L.; Quanbeck, Mari – National Center on Educational Outcomes, 2021
This report provides a snapshot of how accommodated tests for students with disabilities, accessibility, alternate assessments, and other related issues were addressed in states' test security policies for 2020-21. Strong test security policies and procedures are needed to help ensure the integrity and validity of state assessments, yet some test…
Descriptors: Testing Accommodations, Information Security, State Policy, Policy Analysis
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Chala, Lemma; Agago, Menna – International Journal of Instruction, 2022
Exam malpractice can be found in every nation in the globe. The practice of providing quality examinations in Ethiopian schools has ran into difficulties. The various forms of national examination malpractices, as well as preventative methods, were investigated in this study.A5-point rating scale labelled 'Forms of Examination Malpractices…
Descriptors: Cheating, Prevention, Rating Scales, Administrator Attitudes
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Ercikan, Kadriye; Asil, Mustafa; Grover, Raman – Education Policy Analysis Archives, 2018
Student learning is increasingly taking place in digital environments both within and outside schooling contexts. Educational assessments are following suit, both to take advantage of the conveniences and opportunities that digital environments provide as well as to reflect the mediums of learning increasingly taking place in societies around the…
Descriptors: Access to Computers, Disadvantaged, Educational Assessment, Gender Differences
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Bulut, Okan; Lei, Ming; Guo, Qi – International Journal of Research & Method in Education, 2018
Item positions in educational assessments are often randomized across students to prevent cheating. However, if altering item positions results in any significant impact on students' performance, it may threaten the validity of test scores. Two widely used approaches for detecting position effects -- logistic regression and hierarchical…
Descriptors: Alternative Assessment, Disabilities, Computer Assisted Testing, Structural Equation Models
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Ben Khudair, Saud Abdullah; Abdalla, Abdalla Khidir – International Journal of Educational Administration and Policy Studies, 2016
The research problem addressed in this study focused on the students' assessment issue. Although the assessment of student learning should form part of the curriculum of school programs, many educational institutions do not make student assessment part of their teaching and learning routines. A holistic and integrated framework, which encompasses…
Descriptors: Value Added Models, Stakeholders, Student Evaluation, Expectation
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Chu, Man-Wai; Lai, Hollis – Alberta Journal of Educational Research, 2013
In educational assessment, there is an increasing demand for tailoring assessments to individual examinees through computer adaptive tests (CAT). As such, it is particularly important to investigate the fairness of these adaptive testing processes, which require the investigation of differential item function (DIF) to yield information about item…
Descriptors: Educational Assessment, Test Bias, Computer Assisted Testing, Adaptive Testing
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